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Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach

https://doi.org/10.1109/tsmc.2023.3296614
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118884614openalex-snapshot
Multi-Agent Machine Learning: A Reinforcement Approach
inferredcites →https://doi.org/10.1007/978-3-030-60990-0_12openalex-snapshot
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50027-1openalex-snapshot
Markov games as a framework for multi-agent reinforcement learning
inferredcites →https://doi.org/10.1016/j.comcom.2019.01.006openalex-snapshot
Survey on blockchain for Internet of Things
inferredcites →https://doi.org/10.1016/j.ipm.2021.102492openalex-snapshot
A novel Dual-Blockchained structure for contract-theoretic LoRa-based information systems
inferredcites →https://doi.org/10.1073/pnas.0308738101openalex-snapshot
The Nash equilibrium: A perspective
inferredcites →https://doi.org/10.1109/access.2020.2965147openalex-snapshot
Survey: Sharding in Blockchains
inferredcites →https://doi.org/10.1109/iotais47347.2019.8980452openalex-snapshot
A Frequency-Hopping Game Between a Smart Jammer and a Cognitive Radio
inferredcites →https://doi.org/10.1109/iwcmc.2019.8766525openalex-snapshot
Computing Resource Allocation in LEO Satellites System: A Stackelberg Game Approach
inferredcites →https://doi.org/10.1109/jiot.2020.3006896openalex-snapshot
DQN-Based Optimization Framework for Secure Sharded Blockchain Systems
inferredcites →https://doi.org/10.1109/jiot.2021.3064874openalex-snapshot
DRL-Based Low-Latency Content Delivery for 6G Massive Vehicular IoT
inferredcites →https://doi.org/10.1109/jiot.2021.3126895openalex-snapshot
Sharding-Hashgraph: A High-Performance Blockchain-Based Framework for Industrial Internet of Things With Hashgraph Mechanism
inferredcites →https://doi.org/10.1109/jiot.2022.3152188openalex-snapshot
Sharded Blockchain for Collaborative Computing in the Internet of Things: Combined of Dynamic Clustering and Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/jsac.2022.3213360openalex-snapshot
Incentivizing Proof-of-Stake Blockchain for Secured Data Collection in UAV-Assisted IoT: A Multi-Agent Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/msp.2017.2743240openalex-snapshot
Deep Reinforcement Learning: A Brief Survey
inferredcites →https://doi.org/10.1109/tbc.2020.2977577openalex-snapshot
Smart Mode Selection Using Online Reinforcement Learning for VR Broadband Broadcasting in D2D Assisted 5G HetNets
inferredcites →https://doi.org/10.1109/tgcn.2021.3072140openalex-snapshot
Energy-Efficient Offloading for Mission-Critical IoT Services Using EVT-Embedded Intelligent Learning
inferredcites →https://doi.org/10.1109/tii.2019.2902563openalex-snapshot
Resource Trading in Blockchain-Based Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tsc.2023.3242606openalex-snapshot
An Optimization Framework Based on Deep Reinforcement Learning Approaches for Prism Blockchain
inferredcites →https://doi.org/10.1109/tsmc.2018.2854904openalex-snapshot
Blockchain and Cryptocurrencies: Model, Techniques, and Applications
inferredcites →https://doi.org/10.1109/tsmc.2019.2896323openalex-snapshot
Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing
inferredcites →https://doi.org/10.1109/tsmc.2019.2903485openalex-snapshot
Automated Demand Response Framework in ELNs: Decentralized Scheduling and Smart Contract
inferredcites →https://doi.org/10.1109/tsmc.2019.2930418openalex-snapshot
ManuChain: Combining Permissioned Blockchain With a Holistic Optimization Model as Bi-Level Intelligence for Smart Manufacturing
inferredcites →https://doi.org/10.1109/tsmc.2020.3012832openalex-snapshot
Toward Packet Routing With Fully Distributed Multiagent Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tsmc.2021.3111135openalex-snapshot
Demand–Response Games for Peer-to-Peer Energy Trading With the Hyperledger Blockchain
inferredcites →https://doi.org/10.1109/tvt.2017.2785414openalex-snapshot
User-Centric View of Unmanned Aerial Vehicle Transmission Against Smart Attacks
inferredcites →https://doi.org/10.1109/twc.2020.3037767openalex-snapshot
Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach
inferredcites →https://doi.org/10.1145/3404397.3404460openalex-snapshot
SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System
inferredcites →https://doi.org/10.1609/aaai.v32i1.11794openalex-snapshot
Counterfactual Multi-Agent Policy Gradients
inferredcites →https://doi.org/10.1609/aaai.v32i1.11796openalex-snapshot
Rainbow: Combining Improvements in Deep Reinforcement Learning
inferredcites →https://doi.org/10.2307/2980979openalex-snapshot
An Introduction to Probability Theory and its Applications.
inferredcites →https://doi.org/10.48550/arxiv.1509.02971openalex-snapshot
Continuous control with deep reinforcement learning
inferredcites →https://doi.org/10.48550/arxiv.1706.10295openalex-snapshot
Noisy Networks for Exploration
inferredcites →https://doi.org/10.48550/arxiv.2011.09533openalex-snapshot
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
inferredcites →https://doi.org/10.52202/068431-1787openalex-snapshot
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4665614openalex-extracted
Tbdd: A New Trust-Based, Drl-Driven Framework for Blockchain Sharding in Iot
inferred← citeshttps://doi.org/10.1007/978-981-96-0957-4_9openalex-snapshot
Enabling Efficient Cross-Shard Smart Contract Calling via Overlapping
inferred← citeshttps://doi.org/10.1007/s11227-025-07883-7openalex-snapshot
SGDSAC: a scalable self-governing DSAC-based learning framework for on-chain sharding and off-chain cloud databases
inferred← citeshttps://doi.org/10.1007/s11227-025-08060-6openalex-snapshot
Distributed reinforcement learning for heterogeneous blockchain networks: a customized multi-agent architecture for cross-chain optimization
inferred← citeshttps://doi.org/10.1007/s44227-025-00072-1openalex-snapshot
A Systematic Review of Blockchain, AI, and Cloud Integration for Secure Digital Ecosystems
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110343openalex-snapshot
TbDd: A new trust-based, DRL-driven framework for blockchain sharding in IoT
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111942openalex-snapshot
Agent-based modeling of double-spending attacks using deep reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2026.103118openalex-snapshot
AI for Web3 ecosystems: A socio-technical conceptual framework
inferred← citeshttps://doi.org/10.1109/access.2025.3562126openalex-snapshot
A Survey for Blockchain-Enabled Resource Management in Edge Networks
inferred← citeshttps://doi.org/10.1109/access.2025.3604287openalex-snapshot
An Iterative Systematic Analytical Review of Machine Learning Techniques for Blockchain Optimization
inferred← citeshttps://doi.org/10.1109/icccn65249.2025.11133828openalex-snapshot
SealOS+: A Sealos-based Approach for Adaptive Resource Optimization Under Dynamic Workloads for Securities Trading System
inferred← citeshttps://doi.org/10.1109/icscis65391.2025.11069521openalex-snapshot
A Review of Dynamic Sharding in Blockchain with Deep Reinforcement Learning: Challenges and Emerging Trends
inferred← citeshttps://doi.org/10.1109/jiot.2024.3387090openalex-snapshot
MFGD3QN: Enhancing Edge Intelligence Defense Against DDoS With Mean-Field Games and Dueling Double Deep Q-Network
inferred← citeshttps://doi.org/10.1109/jiot.2025.3565740openalex-snapshot
A Trustworthy IoT-Based Supply Chain Traceability System With Semantic Multichain and Preblockchain Data Verification
inferred← citeshttps://doi.org/10.1109/jiot.2025.3567146openalex-snapshot
HydraChain: A Cooperative MAPPO Architecture for Load Balancing in IoT Sharding Blockchain
inferred← citeshttps://doi.org/10.1109/tce.2024.3478794openalex-snapshot
Adaptive Learning-Based Cloud-Edge Collaborative Secure Resource Management for Blockchain-Empowered Demand Response
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3688662openalex-snapshot
Enhancing Throughput in Sharded Blockchain via Joint Convex Optimization of System Parameters and Resource Allocation
inferred← citeshttps://doi.org/10.1109/tqcebt67648.2026.11681740openalex-snapshot
A Traffic-Aware Sharded Blockchain Framework for Massive IoT Environments
inferred← citeshttps://doi.org/10.1109/tsmc.2025.3620571openalex-snapshot
An Evolutionary Approach to Joint Latency and Reward Optimization for Block Verification in Blockchain Networks
inferred← citeshttps://doi.org/10.3390/electronics14163254openalex-snapshot
DCSCY: DRL-Based Cross-Shard Smart Contract Yanking in a Blockchain Sharding Framework
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